Impacts of Lean Six Sigma over organizational sustainability: A survey
study
J
essica Galdino de Freitas
*
, Helder Gomes Costa, Fernando Toledo Ferraz
Department of Production Engineering, Universidade Federal Fluminense, Niteroi, RJ, Brazil
article info
Article history:
Received 13 May 2016
Received in revised form
20 February 2017
Accepted 8 April 2017
Available online 12 April 2017
Handling Editor: Cecilia Maria Villas B^ oas de
Almeida
Keywords:
Lean
Six Sigma
Lean Six Sigma
Organizational sustainability
Survey
LinkedIn
abstract
The purpose of this paper was to verify how Lean Six Sigma (LSS) could influence the organizational
sustainability through their projects, given that there are few scientific studies that seek to evaluate the
relationship that current exist between this tree streams: Lean, Six Sigma and Sustainability. The
metodologie used on this study has qualitative point of view, based on experts' perception and collected
by survey. The authors structured a questionnaire with 13 impacts of LSS, which was subsequently
applied over 106 international LSS experts, with Green Belt, Black Belt, Master Black Belt or Champions
certification. The survey investigate the expert perception of LSS influence over the three pillars of the
Triple Bottom Line (TBL). There were identified in this study the correlation between LSS and organi-
zational sustainability, principally due to impacts that significantly influence over Financial pillar of TBL.
The authors also identified the 5 more influential impacts over organizational were identified and the
importance of cost dimension for sustainability in organizations. This study assists in expansion of
knowledge about the use of LSS by evaluating the influence of the metodologie over organizational
sustainability and providing a deeper understanding of the relationship existing between them. Because
of its feature, this study also raises the awareness among governments and companies regarding the
weaknesses identified between TBL pillars. The survey application model through the LinkedIn platform
presented in this study also shows itself as a possible source of inspiration for future studies. Even with
the large volume of articles published about the Green Lean Six Sigma (GLSS) theme, it was not possible
to identify papers that aim to verify the impacts of LSS methodology over the organization with a holistic
and sustainable point of view. Within this scenario, the present study seeks to fill the verified gap.
© 2017 Elsevier Ltd. All rights reserved.
1. Introduction
Lean thinking emerged initially with the development of the
Toyota Production System, which Taiichi Ohno and associates
structured to help Toyota company survival in a scenario of capital
and resources constraints during the post-war recovery (Kurdve
et al., 2014). A team of engineers of Motorola, led by Bill Smith in
the mid-80s, developed the Six Sigma methodology with the goal
to improve the performance of the production process, but the
methodology was widely disseminated by GE CEO Jack Welch
(Shah et al., 2008).
Many authors have sought to integrate these two methodologies
in the last few years in order to compose a single implementation
model denominated by Sheridan (2000) as Lean Six Sigma (LSS).
Pepper and Spedding (2010) define the LSS as a structured and
systematic approach for results improvement that perform statis-
tical analyzes in order to reduce the incidence of defects in the final
product at 3.4 defects per million and eliminate waste around all
the production process. Originally developed in order to increase
productivity on the shop floor, the LSS methodology stands as an
effective track for improving organizational performance, mainly
due to its feature to seek the improvement of processes with the
purpose of achieving superior results in cost, productivity and
quality (Salah et al., 2010).
The LSS methodology continues to evolve in terms of the
application of LSS methodology in other areas of an organization
(Antony et al., 2012; Fischman, 2010; Hsieh et al., 2012), beyond the
production environment itself, the expansion of the tools used
(Kornfeld and Kara, 2013; Lertwattanapongchai and William
Swierczek, 2014; Meza and Jeong, 2013) and the development of
multiple deployment models (Arnheiter and Maleyeff, 2005;
Campos, 2013; Salah et al., 2010).
* Corresponding author.
E-mail address: jgaldinofreitas@gmail.com (J.G. de Freitas).
Contents lists available at ScienceDirect
Journal of Cleaner Production
journal homepage: www.elsevier.com/locate/jclepro
http://dx.doi.org/10.1016/j.jclepro.2017.04.054
0959-6526/© 2017 Elsevier Ltd. All rights reserved.
Journal of Cleaner Production 156 (2017) 262e275